A multiple imputation‐based sensitivity analysis approach for regression analysis with a missing not at random covariate

• Published in: Statistics in medicine Vol. 42; no. 14; pp. 2275 - 2292
• Main Authors: Hsu, Chiu‐Hsieh, He, Yulei, Hu, Chengcheng, Zhou, Wei
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 30.06.2023; Wiley Subscription Services, Inc
• Subjects: Biomarkers; Biomedical research; Clinical outcomes; Computer Simulation; Data Interpretation, Statistical; Electronic health records; Humans; missing covariate; missing not at random; Models, Statistical; multiple imputation; Probability; Regression Analysis; selection model; Sensitivity analysis; missing not at random; multiple imputation; selection model; sensitivity analysis; missing covariate

Missing covariate problems are common in biomedical and electrical medical record data studies while evaluating the relationship between a biomarker and certain clinical outcome, when biomarker data are not collected for all subjects. However, missingness mechanism is unverifiable based on observed...